Enhancement groundwater level prediction using hybrid ANN-HHO model: case study (Shabestar Plain in Iran)
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-023-11584-x.pdf
Reference69 articles.
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3. Akbarzadeh F, Hasanpour H, Emamgholizadeh S (2016) Groundwater level prediction of Shahrood Plain using RBF neural networks. Journal of Watershed Management Research 7: 104–118, http://jwmr.sanru.ac.ir/article-1-663-en.html
4. Alcalá García FJ, Martínez Pagan P, Catarina Paz M, Navarro Bernal M, Pérez Cuevas J, Domingo Poveda F (2021) Combining of MASW and GPR imaging and hydrogeological surveys for the groundwater resource evaluation in a coastal urban area in southern Spain. Appl Sci 11(7):3154. https://doi.org/10.3390/app11073154
5. Almasri MN, Kaluarachchi JJ (2005) Modular neural networks to predict the nitrate distribution in ground water using the on-ground nitrogen loading and recharge data. Environ Model Softw 20(7):851–871. https://doi.org/10.1016/j.envsoft.2004.05.001
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